Black Sea (Israel) Technical Analysis
| BSP Stock | ILS 550.00 38.00 6.46% |
As of the 13th of December 2024, Black Sea shows the risk adjusted performance of (0.06), and Mean Deviation of 3.15. Black Sea Property technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Black Sea Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Black, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BlackBlack |
Black Sea technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Black Sea Property Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Black Sea Property volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Black Sea Property Trend Analysis
Use this graph to draw trend lines for Black Sea Property. You can use it to identify possible trend reversals for Black Sea as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Black Sea price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Black Sea Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Black Sea Property applied against its price change over selected period. The best fit line has a slop of 0.85 , which may suggest that Black Sea Property market price will keep on failing further. It has 122 observation points and a regression sum of squares at 27130.14, which is the sum of squared deviations for the predicted Black Sea price change compared to its average price change.About Black Sea Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Black Sea Property on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Black Sea Property based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Black Sea Property price pattern first instead of the macroeconomic environment surrounding Black Sea Property. By analyzing Black Sea's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Black Sea's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Black Sea specific price patterns or momentum indicators. Please read more on our technical analysis page.
Black Sea December 13, 2024 Technical Indicators
Most technical analysis of Black help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Black from various momentum indicators to cycle indicators. When you analyze Black charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.06) | |||
| Market Risk Adjusted Performance | (0.36) | |||
| Mean Deviation | 3.15 | |||
| Coefficient Of Variation | (1,028) | |||
| Standard Deviation | 4.28 | |||
| Variance | 18.33 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.53) | |||
| Total Risk Alpha | (0.96) | |||
| Treynor Ratio | (0.37) | |||
| Maximum Drawdown | 20.11 | |||
| Value At Risk | (7.03) | |||
| Potential Upside | 6.73 | |||
| Skewness | (0.39) | |||
| Kurtosis | 1.16 |
Complementary Tools for Black Stock analysis
When running Black Sea's price analysis, check to measure Black Sea's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Black Sea is operating at the current time. Most of Black Sea's value examination focuses on studying past and present price action to predict the probability of Black Sea's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Black Sea's price. Additionally, you may evaluate how the addition of Black Sea to your portfolios can decrease your overall portfolio volatility.
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